Update README.md

README.md

@@ -1,10 +1,23 @@
 ---
 license: apache-2.0
 ---
-<h3><a href="https://github.com/LingyvKong/OneChart">OneChart: Purify the Chart Structural Extraction via One Auxiliary Token</a></h3>
+<h1><a href="https://github.com/LingyvKong/OneChart">OneChart: Purify the Chart Structural Extraction via One Auxiliary Token</a></h1>
 
 Jinyue Chen*, Lingyu Kong*, [Haoran Wei](https://scholar.google.com/citations?user=J4naK0MAAAAJ&hl=en), Chenglong Liu, [Zheng Ge](https://joker316701882.github.io/), Liang Zhao, [Jianjian Sun](https://scholar.google.com/citations?user=MVZrGkYAAAAJ&hl=en), Chunrui Han, [Xiangyu Zhang](https://scholar.google.com/citations?user=yuB-cfoAAAAJ&hl=en)
 
-[Github](https://github.com/LingyvKong/OneChart)
+[Github](https://github.com/LingyvKong/OneChart) 
+[arxiv](https://arxiv.org/abs/2404.09987)
 
-[arxiv](https://arxiv.org/abs/2404.09987)
+## Quickly try the demo using hugginface：
+```python
+from transformers import AutoModel, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained('kppkkp/OneChart', trust_remote_code=True, use_fast=False, padding_side="right")
+model = AutoModel.from_pretrained('kppkkp/OneChart', trust_remote_code=True, low_cpu_mem_usage=True, device_map='cuda')
+model = model.eval().cuda()
+
+# input your test image
+image_file = 'image.png'
+res = model.chat(tokenizer, image_file, reliable_check=True)
+print(res)
+```